{"id":"W2944875226","doi":"10.17925/usn.2019.15.1.18","title":"Imaging, Technology, and Parkinson’s Disease","year":2019,"lang":"en","type":"article","venue":"touchREVIEWS in Neurology","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Deep brain stimulation; Medicine; Movement disorders; Dystonia; Essential tremor; Neuromodulation; Parkinson's disease; Neuroimaging; Translational research; Neurosurgery; Neurology; Clinical neuroscience; Neuroscience; Physical medicine and rehabilitation; Disease; Psychology; Psychiatry; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009380933,0.0004474995,0.000457044,0.001522158,0.0007132299,0.002258608,0.0006736404,0.002833842,0.009431401],"category_scores_gemma":[0.002611385,0.0002036548,0.0004285141,0.00115698,0.002230652,0.001768527,0.001091378,0.003069102,0.00234752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948493,"about_ca_system_score_gemma":0.00109298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005185333,"about_ca_topic_score_gemma":0.007586896,"domain_scores_codex":[0.9992093,0.000201417,0.00005910471,0.00008740051,0.0003464302,0.0000963924],"domain_scores_gemma":[0.9988006,0.0006566753,0.0001049435,0.00004870653,0.0002744236,0.0001146835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003472311,0.00005018185,0.0009340057,0.001720145,0.00007731539,0.0006352571,0.0003753581,0.0001396644,0.0008343289,0.03361763,0.6688985,0.2926829],"study_design_scores_gemma":[0.000006952912,0.00002770388,0.002461897,0.001542941,0.00002496434,0.001665534,0.0003222775,0.0000336617,0.0002249415,0.01372417,0.979952,0.00001285633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004579086,0.9283756,0.0001277487,0.04681973,0.008256965,0.000005307325,0.00002143986,0.00001822142,0.01591704],"genre_scores_gemma":[0.01071403,0.9273646,0.0003997732,0.02595219,0.0173327,0.00001417726,0.00005694059,0.00002200319,0.01814371],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009431401,"threshold_uncertainty_score":0.03155112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212401069292168,"score_gpt":0.2724420969306564,"score_spread":0.2603180862377347,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}